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CASIA OpenIR

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CT-based radiomics to predict development of macrovascular invasion in hepatocellular carcinoma: A multicenter study 期刊论文
Hepatobiliary & Pancreatic Diseases International, 2021, 卷号: 2021, 期号: --, 页码: --
作者:  Jingwei Wei;  Sirui Fu;  Jie Zhang;  Dongsheng Gu;  Xiaoqun Li;  Xudong Chen;  Shuaitong Zhang;  Xiaofei He;  Jianfeng Yan;  Ligong Lu;  Jie Tian
Adobe PDF(1564Kb)  |  收藏  |  浏览/下载：175/39  |  提交时间：2022/04/06
Computed tomography  Hepatocellular carcinoma  Macrovascular invasion  Prognosis  Radiomics  
Metabolic detection and systems analyses of pancreatic ductal adenocarcinoma through machine learning, lipidomics, and multi-omics 期刊论文
SCIENCE ADVANCES, 2021, 卷号: 7, 期号: 52, 页码: 13
作者:  Wang, Guangxi;  Yao, Hantao;  Gong, Yan;  Lu, Zipeng;  Pang, Ruifang;  Li, Yang;  Yuan, Yuyao;  Song, Huajie;  Liu, Jia;  Jin, Yan;  Ma, Yongsu;  Yang, Yinmo;  Nie, Honggang;  Zhang, Guangze;  Meng, Zhu;  Zhou, Zhe;  Zhao, Xuyang;  Qiu, Mantang;  Zhao, Zhicheng;  Jiang, Kuirong;  Zeng, Qiang;  Guo, Limei;  Yin, Yuxin
收藏  |  浏览/下载：211/0  |  提交时间：2022/03/17
Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:  An, Chao;  Li, Dongyang;  Li, Sheng;  Li, Wangzhong;  Tong, Tong;  Liu, Lizhi;  Jiang, Dongping;  Jiang, Linling;  Ruan, Guangying;  Hai, Ning;  Fu, Yan;  Wang, Kun;  Zhuo, Shuiqing;  Tian, Jie
Adobe PDF(2925Kb)  |  收藏  |  浏览/下载：305/58  |  提交时间：2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
作者:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  收藏  |  浏览/下载：273/23  |  提交时间：2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)